Condition Monitoring in an Age of Modernization: How (and Why) to Adapt

The widespread application and use of electricity, which may now seem like a simple commodity, is considered one of the greatest technical developments of all time. However, keeping up with today’s demand for power is anything but simple: a vast amount of resources goes into maintaining a reliable infrastructure.

A century ago, we didn’t have as many assets to monitor and protect against failure— but naturally, as society has developed and adopted technology, our global need for power has expanded, and with that expansion grid infrastructure has also grown. And as the grid grows, it must also adapt as the industry faces new challenges and opportunities, such as supporting modern, renewable resources and large industrial complexes.

Across the board, industries are leveraging data to drive efficiency, reliability, resilience and better outcomes for customers with one thing in common— proactivity in their approaches. So, if the power industry paved the way for so many of these remarkable evolutions, how are we advancing the way in which we meet our own industry’s needs?

Condition Monitoring: What It Is and Its Role in Modernization?

Condition monitoring—the process of monitoring a parameter related to asset condition to identify a significant change indicative of a developing fault—helps utilities make informed and confident maintenance and repair decisions across all the assets they manage. By collecting comprehensive asset data on an ongoing basis, utilities get deep insights that let them make smart choices and help allocate their resources to the areas that need repairs, maintenance, or other intervention most urgently.

A major goal of grid modernization is to make power infrastructure more resilient through technology– and condition monitoring plays a key role in that effort. Fortunately, most concerns over the factors behind asset health-related risks are under operational control and can be addressed by proactively assessing and monitoring asset condition and better detecting faults and issues, such as insulation deterioration, before they become a crisis. Insight into infrastructure health and performance equips teams to respond better to changing conditions and stay flexible in the face of evolving power demands.

The Power Industry’s Need for Condition Monitoring

Condition monitoring is a critical component to infrastructure maintenance. The approach gives engineers peace-of-mind by detecting any changes in asset health as they emerge and predicting future disruptions based on a historical data set, including information on previous inspections, condition of similar components, asset health trends, and other real-time indicators. Similar to how a patient would use a heart rate monitor to track and alert them of changes in vitals, condition monitoring solutions make it possible for engineers to constantly keep tabs on changing transformer condition and know when an abnormality needs to be addressed. When teams analyze data through condition monitoring, they should be able to detect and diagnose failure modes, making it easier to predict future issues, and proactively prevent failures and consequent business interruption.

But, don’t be fooled by the products on the market posing as ideal condition monitoring solutions. Anyone can sell a box with lights on it and label it a condition monitoring tool—to make sense of it, utilities must be aware of their own system and then translate the information into actionable solutions.

The Power Industry’s Need for Condition Monitoring

There is a major difference between monitoring for a specific failure mode in a specific asset group and having a genuine understanding of the state of the entire transformer fleet. The latter allows utilities to be proactive, address issues quickly and even predict where the most likely faults will occur. The three ‘C’s’ of condition monitoring serve as a guide to help keep operations running as smoothly as possible:

Control the measurement being made and understand what it implies for failure modes that apply, and the timescales under which they operate. The timeline and parameters around how often teams should look at different data sets depends on failure modes and symptoms. And, of course, suitable data analytics should indicate an incipient problem in a timely manner.

Context is key. Parameters change in unexpected ways, and data will inevitably be different than what was originally thought. Understand the measurement and whether there is a relationship with load or temperature, for example– this is important for understanding which data points are truly outliers and worthy of deeper analysis.

It’s important to be able to draw reasonable and justifiable conclusions from what teams uncover in their condition monitoring programs—data is great, but it only does so much on its own. The decisions that can be made based on that data is what is truly impactful for the organization as it protects against future risk.

So, Where Should You Start?

Systems and the demands associated with evolving infrastructures will never stop changing. The good news is, scalable platforms give engineers the flexibility they need to accommodate and grow along with their system. No one is sure what tomorrow will bring, but condition monitoring programs can help utilities better prepare for the unknown by providing the foundation for operators to make well-informed decisions that help reduce risk, lower failure rates and streamline repair processes.

The power grid provides so many industries with the resources necessary to operate – and resiliency is enhanced tremendously by condition monitoring programs.

So: start small and grow—let your condition monitoring journey be one where you are open to learning and one where the value of the condition monitoring is realized incrementally, and the value is recognized across the organization.